apiclaw-analysis

Files (12)

• README.md
• SECURITY.md
• SKILL.md
• _meta.json
• reference.md · references/
• scenarios-composite.md · references/
• scenarios-eval.md · references/
• scenarios-expand.md · references/
• scenarios-listing.md · references/
• scenarios-ops.md · references/
• scenarios-pricing.md · references/
• apiclaw.py · scripts/

SKILL.md (first lines)

# APIClaw — Amazon Seller Data Analysis

> AI-powered Amazon product research. From market discovery to daily operations.
>
> **Language rule**: Always respond in the user's language. If the user asks in Chinese, reply in Chinese. If in English, reply in English. The language of this skill document does not affect output language.
> All API calls go through `scripts/apiclaw.py` — one script, 5 endpoints, built-in error handling.

## Credentials

- Required: `APICLAW_API_KEY`
- Scope: used only for `https://api.apiclaw.io`
- Resolution order:
  1. **Environment variable** `APICLAW_API_KEY` (preferred, most secure)
  2. **Config file** `config.json` in the skill root directory (fallback)

```json
{ "api_key": "hms_live_xxxxxx" }
```

When user provides a Key, write it to `config.json`. New keys may need 3-5 seconds to activate — if first call returns 403, wait 3 seconds and retry (max 2 retries).

**⚠️ Data persistence notice:** When you provide an API Key, the skill saves it to `config.json` in the skill directory for persistent access across sessions. This file is local-only and listed in `.gitignore` to prevent accidental commits. If you prefer not to store the key on disk, use the environment variable method (`export APICLAW_API_KEY=...`) instead — no file will be created.

**New users:** Get API Key at [apiclaw.io/api-keys](https://apiclaw.io/api-keys).

## File Map

| File | When to Load |
|------|-------------|
| `SKILL.md` (this file) | Start here — covers 80% of tasks |
| `scripts/apiclaw.py` | **Execute** for all API calls (do NOT read into context) |
| `references/reference.md` | Need exact field names or filter parameter details |
| `references/scenarios-composite.md` | Comprehensive recommendations (2.10) or Chinese seller cases (3.4) |
| `references/scenarios-eval.md` | Product evaluation, risk assessment, review analysis (4.x) |
| `references/scenarios-pricing.md` | Pricing strategy, profit estimation, listing reference (5.x) |
| `references/scenarios-ops.md` | Market monitoring, competitor tracking, anomaly alerts (6.x) |
| `references/scenarios-expand.md` | Product expansion, trends, discontinuation decisions (7.x) |
| `references/scenarios-listing.md` | Listing writing, optimization, content creation (8.x) |

**Don't guess field names** — if uncertain, load `reference.md` first.

---

## Execution Mode

| Task Type | Mode | Behavior |
|-----------|------|----------|
| Single ASIN lookup, simple data query | **Quick** | Execute command, return key data. Skip evaluation criteria and output standard block. |
| Market analysis, product selection, competitor comparison, risk assessment | **Full** | Complete flow: command → analysis → evaluation criteria → output standard block. |

**Quick mode trigger:** User asks for a single specific data point ("B09XXX monthly sales?", "how many brands in cat litter?") — no decision analysis needed.

---

## Execution Standards

**Prioritize script execution for API calls.** The script includes:
- Parameter format conversion (e.g. topN auto-converted to string)
- Retry logic (429/timeout auto-retry)
- Standardized error messages
- `_query` metadata injection (for query traceability)

**Fallback:** If script fails and can't be quickly fixed, use curl directly. Note "using curl direct call" in output.

---

## Script Usage

All commands output JSON. Progress messages go to stderr.

### categories — Category tree lookup

```bash
python3 scripts/apiclaw.py categories --keyword "pet supplies"
python3 scripts/apiclaw.py categories --parent "Pet Supplies"
```

Common fields: `categoryName` (not `name`), `categoryPath`, `productCount`, `hasChildren`

### market — Market-level aggregate data

```bash
python3 scripts/apiclaw.py market --category "Pet Supplies,Dogs" --topn 10
```

Key output fields: `sampleAvgMonthlySales`, `sampleAvgPrice`, `topSalesRate` (concentration), `topBrandSalesRate`, `sampleNewSkuRate`, `sampleFbaRate`, `sampleBrandCount`

### products — Product selection with filters

```bash
# Preset mode (14 built-in)
python3 scripts/apiclaw.py products --keyword "yoga mat" --mode beginner

# Explicit filters
python3 scripts/apiclaw.py products --keyword "yoga mat" --sales-min 300 --reviews-max 50

# Mode + overrides (overrides win)
python3 scripts/apiclaw.py products --keyword "yoga mat" --mode beginner --price-max 30
```

Available modes: `fast-movers`, `emerging`, `single-variant`, `high-demand-low-barrier`, `long-tail`, `underserved`, `new-release`, `fbm-friendly`, `low-price`, `broad-catalog`, `selective-catalog`, `speculative`, `beginner`, `top-bsr`

**Keyword matching:** Default is `fuzzy` (matches brand names too — e.g. "smart ring" matches "Smart Color Art" pens). Use `--keyword-match-type exact` or `phrase` for precise results. Always combine with `--category` when possible to reduce noise.

**Category path with commas:** Some category names contain commas (e.g. "Pacifiers, Teethers & Teething Relief"). Use ` > ` separator instead of `,` to avoid parsing errors:
```bash
# ❌ Wrong — comma in name breaks parsing
--category "Baby Products,Baby Care,Pacifiers, Teethers & Teething Relief"
# ✅ Correct — use ' > ' separator
--category "Baby Products > Baby Care > Pacifiers, Teethers & Teething Relief"
```

### competitors — Competitor lookup

```bash
python3 scripts/apiclaw.py competitors --keyword "wireless earbuds"
python3 scripts/apiclaw.py competitors --asin B09V3KXJPB
```

From LeoYeAI/openclaw-master-skills, MIT.

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